deep learning
Projects with this topic
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Mobile application that aims to classify waste into two, namely organic waste and inorganic waste. From the results of this classification, waste can be sold to the nearest garbage collector or junkyard according to the type of waste.
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PDE-based Group Equivariant CNNs for PyTorch
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Yolov5-segmentation identity card detection and rotation with the NCNN and OpenCV framework.
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✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...
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✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.
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✭ MAGNETRON ™ ✭: HEARING PROXIA. DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
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✭ MAGNETRON ™ ✭: OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
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✭ MAGNETRON ™ ✭: Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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✭ MAGNETRON ™ ✭: DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
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Implementation of a (fully connected) Neural Network from scratch in C++.
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This repo contains the code and documentation of the project realized for the Artificial Vision course, developed during my Master's Degree course in Computer Engineering.
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Static chess position evaluation utilizing CNNs.
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A program of simulator and test statistic for continuous Bernoulli distribution. More than that, it contains the cases: 1)two Continuous Bernoulli populations and 2)continuous Trinomial distribution for variational autoencoder model in deep learning.
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Implementation and Analysis of a NN-based pressure predictor for Eulerian Fluid Simulation. Training includes the solver itself and aims to produce a result that can be fed back into the solver to achieve high accuracy in relatively few iterations.
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This project deals with training of convolutional neural network for licence plate detection in video. Darknet technology was used for detection, specifically the YOLOv3-tiny neural network model.
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Code used for producing results presented in the article "Signal mixture estimation for degenerate heavy Higgses using a deep neural network", published in I. Eur. Phys. J. C (2018) 78: 1010
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Using AWS Machine Learning services and Apache MXNet on a Raspberry Pi.
Code for the Johnny Pi series of posts on Medium https://medium.com/@julsimon/johnny-pi-i-am-your-father-part-0-1eb537e5a36
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